Update README schema

README.md

@@ -14,33 +14,29 @@ configs:
 
 # SpatialTunnel
 
-SpatialTunnel is a Blender-rendered diagnostic dataset for studying how vision-language models represent spatial relations internally. It accompanies the contrastive-probing framework introduced in **Why Far Looks Up: Probing Spatial Representation in Vision-Language Models**.
+SpatialTunnel is a Blender-rendered diagnostic dataset for studying how vision-language models represent spatial relations internally. It was introduced in **Why Far Looks Up: Probing Spatial Representation in Vision-Language Models** ([arXiv:2605.30161](https://arxiv.org/abs/2605.30161)).
 
-Links:
+Related resources:
 
-- Contrastive-probing code and methodology: https://github.com/cheolhong0916/contrastive-probing
-- Project page: https://cheolhong0916.github.io/whyfarlooksup.github.io/
-- SpatialTunnel generation code: https://github.com/cube-c/spatialtunnel-dataset-gen
-
-The benchmark uses simple rendered 3D scenes to isolate spatial-shortcut biases.
+- [Contrastive-probing code and methodology](https://github.com/cheolhong0916/contrastive-probing)
+- [Project page](https://cheolhong0916.github.io/whyfarlooksup.github.io/)
+- [SpatialTunnel generation code](https://github.com/cube-c/spatialtunnel-dataset-gen)
 
 ## Dataset Configs
 
 | Config | File | Rows | Description |
-|---|---|---|---|
-| `size_variation` | `size_variation.tsv` | 1,100 | Distance questions under controlled object-size variation. |
+|---|---:|---:|---|
+| `size_variation` | `size_variation.tsv` | 1,100 | Apparent-size questions under controlled object-size variation. |
 | `phase_variation` | `phase_variation.tsv` | 3,072 | Distance questions with controlled angular-position variation. |
 | `contrastive_probing` | `contrastive_probing.tsv` | 1,200 | Balanced spatial-relation questions for contrastive probing. |
 
 ## Format
 
-All configs are tab-separated files with the same set of columns:
+All configs are tab-separated files with the same columns:
 
 | Column | Description |
 |---|---|
 | `index` | Row index within the selected config. |
 | `image` | Base64-encoded PNG image. |
 | `question` | Spatial question to ask the model. |
-| `A` | First answer choice. |
-| `B` | Second answer choice. |
-| `category` | Gold label for the row. |
+| `answer` | Ground-truth answer for the row. |